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Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding

Author

Listed:
  • Qi Liao

    (College of Environmental Science and Engineering, Key Laboratory of Marine Ecology and Environmental Sciences, Ministry of Education, Ocean University of China, Qingdao 266100, China)

  • Ge Yu

    (College of Environmental Science and Engineering, Key Laboratory of Marine Ecology and Environmental Sciences, Ministry of Education, Ocean University of China, Qingdao 266100, China)

  • Wensheng Jiang

    (College of Environmental Science and Engineering, Key Laboratory of Marine Ecology and Environmental Sciences, Ministry of Education, Ocean University of China, Qingdao 266100, China)

  • Chunxia Lu

    (Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Yan Ma

    (Qingdao Meteorological Administration, Qingdao 266003, China)

  • Kexiu Liu

    (National Marine Information Center, Tianjin 300480, China)

  • Qun Lin

    (Qingdao Economic and Information Technology Committee, Qingdao 266071, China)

  • Yanping Wang

    (College of Environmental Science and Engineering, Key Laboratory of Marine Ecology and Environmental Sciences, Ministry of Education, Ocean University of China, Qingdao 266100, China)

Abstract

The risk of marine disasters based on flooding is one of the most significant natural disasters in coastal zones. It can be said that flooding in coastal zones has typical sea–land characteristics. Yet, relatively little research has been done in this area. Thus, by using the characteristics of marine disaster risk based on flooding in Qingdao and combining marine science and land science methods, this paper constructs a targeted indicator system for the flooding risk from marine disasters from the perspectives of the disaster natural chain and flooding process. According to the results, the Integrated Risk Index of marine disasters based on flooding in Qingdao is 0.3694, which represents a medium risk level for natural disasters in China’s major coastal areas. The first- and third-level indicators with large contribution rates are almost all natural indicators. This indicates that the natural disaster process and disaster chain greatly affect the flooding disaster risk in Qingdao. However, although natural factors play large roles in the risk of disaster, preventive methods implemented by humans can still have a positive effect on disaster reduction. Therefore, human society should still proceed with understanding disasters from natural processes, change their passive response to active adaptation, and actively strengthen preventive measures to alleviate the adverse impacts of increasingly serious natural disasters.

Suggested Citation

  • Qi Liao & Ge Yu & Wensheng Jiang & Chunxia Lu & Yan Ma & Kexiu Liu & Qun Lin & Yanping Wang, 2019. "Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:468-:d:198471
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    References listed on IDEAS

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    1. Yan Fang & Jie Yin & Bihu Wu, 2016. "Flooding risk assessment of coastal tourist attractions affected by sea level rise and storm surge: a case study in Zhejiang Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 611-624, October.
    2. Jochen Hinkel & Carlo Jaeger & Robert J. Nicholls & Jason Lowe & Ortwin Renn & Shi Peijun, 2015. "Sea-level rise scenarios and coastal risk management," Nature Climate Change, Nature, vol. 5(3), pages 188-190, March.
    3. Wang, Ying-Ming & Elhag, Taha M.S., 2007. "A goal programming method for obtaining interval weights from an interval comparison matrix," European Journal of Operational Research, Elsevier, vol. 177(1), pages 458-471, February.
    4. Jianzhu Li & Senming Tan, 2015. "Nonstationary Flood Frequency Analysis for Annual Flood Peak Series, Adopting Climate Indices and Check Dam Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5533-5550, December.
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